CA2807144C - Systemes et procedes pour la segmentation et le traitement d'images tissulaires et d'extraction de caracteristiques a partir de celles-ci pour le traitement, le diagnostic, ou laprediction de conditions medicales - Google Patents
Systemes et procedes pour la segmentation et le traitement d'images tissulaires et d'extraction de caracteristiques a partir de celles-ci pour le traitement, le diagnostic, ou laprediction de conditions medicales Download PDFInfo
- Publication number
- CA2807144C CA2807144C CA2807144A CA2807144A CA2807144C CA 2807144 C CA2807144 C CA 2807144C CA 2807144 A CA2807144 A CA 2807144A CA 2807144 A CA2807144 A CA 2807144A CA 2807144 C CA2807144 C CA 2807144C
- Authority
- CA
- Canada
- Prior art keywords
- image
- nuclei
- segmentation
- tissue
- images
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 268
- 230000011218 segmentation Effects 0.000 title claims abstract description 199
- 238000012545 processing Methods 0.000 title claims abstract description 57
- 238000000605 extraction Methods 0.000 title abstract description 19
- 210000001519 tissue Anatomy 0.000 claims abstract description 195
- 210000000805 cytoplasm Anatomy 0.000 claims abstract description 155
- 238000001514 detection method Methods 0.000 claims abstract description 29
- 230000000877 morphologic effect Effects 0.000 claims description 40
- 238000004458 analytical method Methods 0.000 claims description 19
- 230000001413 cellular effect Effects 0.000 claims description 17
- 239000011159 matrix material Substances 0.000 claims description 14
- 239000002131 composite material Substances 0.000 claims 1
- 230000008569 process Effects 0.000 abstract description 187
- 206010028980 Neoplasm Diseases 0.000 abstract description 22
- 201000011510 cancer Diseases 0.000 abstract description 17
- 238000010166 immunofluorescence Methods 0.000 abstract description 12
- 238000007781 pre-processing Methods 0.000 abstract description 12
- 238000012805 post-processing Methods 0.000 abstract description 10
- 238000010186 staining Methods 0.000 abstract description 7
- 201000010099 disease Diseases 0.000 abstract description 6
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 abstract description 6
- 238000003364 immunohistochemistry Methods 0.000 abstract description 6
- 238000007490 hematoxylin and eosin (H&E) staining Methods 0.000 abstract description 3
- 210000004940 nucleus Anatomy 0.000 description 291
- 102000018329 Keratin-18 Human genes 0.000 description 61
- 108010066327 Keratin-18 Proteins 0.000 description 61
- 210000004907 gland Anatomy 0.000 description 58
- 238000000926 separation method Methods 0.000 description 47
- FWBHETKCLVMNFS-UHFFFAOYSA-N 4',6-Diamino-2-phenylindol Chemical compound C1=CC(C(=N)N)=CC=C1C1=CC2=CC=C(C(N)=N)C=C2N1 FWBHETKCLVMNFS-UHFFFAOYSA-N 0.000 description 43
- 239000000090 biomarker Substances 0.000 description 41
- 238000013459 approach Methods 0.000 description 35
- 102000001307 androgen receptors Human genes 0.000 description 27
- 108010080146 androgen receptors Proteins 0.000 description 27
- 230000000875 corresponding effect Effects 0.000 description 25
- 238000010200 validation analysis Methods 0.000 description 21
- 238000007475 c-index Methods 0.000 description 20
- 238000005286 illumination Methods 0.000 description 19
- 230000014509 gene expression Effects 0.000 description 17
- 238000001574 biopsy Methods 0.000 description 16
- 230000006870 function Effects 0.000 description 16
- 230000000762 glandular Effects 0.000 description 15
- 206010060862 Prostate cancer Diseases 0.000 description 13
- 208000000236 Prostatic Neoplasms Diseases 0.000 description 13
- 230000000295 complement effect Effects 0.000 description 13
- 238000005192 partition Methods 0.000 description 13
- 230000010339 dilation Effects 0.000 description 12
- 239000003550 marker Substances 0.000 description 12
- 238000011156 evaluation Methods 0.000 description 11
- 239000012634 fragment Substances 0.000 description 10
- 238000010586 diagram Methods 0.000 description 9
- 210000002307 prostate Anatomy 0.000 description 9
- 210000004027 cell Anatomy 0.000 description 8
- 230000004044 response Effects 0.000 description 8
- 230000003628 erosive effect Effects 0.000 description 7
- 230000036961 partial effect Effects 0.000 description 7
- 206010061818 Disease progression Diseases 0.000 description 6
- 230000003044 adaptive effect Effects 0.000 description 6
- 230000005750 disease progression Effects 0.000 description 6
- 230000002349 favourable effect Effects 0.000 description 6
- 230000007170 pathology Effects 0.000 description 6
- 102100039694 Death-associated protein 1 Human genes 0.000 description 5
- 238000004590 computer program Methods 0.000 description 5
- 238000012937 correction Methods 0.000 description 5
- 210000002919 epithelial cell Anatomy 0.000 description 5
- 238000001914 filtration Methods 0.000 description 5
- 238000010191 image analysis Methods 0.000 description 5
- 238000010606 normalization Methods 0.000 description 5
- 238000011471 prostatectomy Methods 0.000 description 5
- 238000000638 solvent extraction Methods 0.000 description 5
- 230000009466 transformation Effects 0.000 description 5
- 238000012935 Averaging Methods 0.000 description 4
- 230000008901 benefit Effects 0.000 description 4
- 238000009826 distribution Methods 0.000 description 4
- 230000000694 effects Effects 0.000 description 4
- 230000002708 enhancing effect Effects 0.000 description 4
- 238000013467 fragmentation Methods 0.000 description 4
- 238000006062 fragmentation reaction Methods 0.000 description 4
- 238000003384 imaging method Methods 0.000 description 4
- 238000004393 prognosis Methods 0.000 description 4
- 102000004169 proteins and genes Human genes 0.000 description 4
- 108090000623 proteins and genes Proteins 0.000 description 4
- 238000011472 radical prostatectomy Methods 0.000 description 4
- 230000000717 retained effect Effects 0.000 description 4
- 238000012552 review Methods 0.000 description 4
- 230000003595 spectral effect Effects 0.000 description 4
- 208000032825 Ring chromosome 2 syndrome Diseases 0.000 description 3
- 210000003855 cell nucleus Anatomy 0.000 description 3
- 230000000916 dilatatory effect Effects 0.000 description 3
- 239000007850 fluorescent dye Substances 0.000 description 3
- 238000003709 image segmentation Methods 0.000 description 3
- 230000006872 improvement Effects 0.000 description 3
- 238000002372 labelling Methods 0.000 description 3
- 238000005259 measurement Methods 0.000 description 3
- 239000012528 membrane Substances 0.000 description 3
- 238000002493 microarray Methods 0.000 description 3
- 239000000203 mixture Substances 0.000 description 3
- 230000003562 morphometric effect Effects 0.000 description 3
- 238000013425 morphometry Methods 0.000 description 3
- 230000000750 progressive effect Effects 0.000 description 3
- 238000013138 pruning Methods 0.000 description 3
- 238000005070 sampling Methods 0.000 description 3
- 239000007787 solid Substances 0.000 description 3
- WSFSSNUMVMOOMR-UHFFFAOYSA-N Formaldehyde Chemical compound O=C WSFSSNUMVMOOMR-UHFFFAOYSA-N 0.000 description 2
- WZUVPPKBWHMQCE-UHFFFAOYSA-N Haematoxylin Chemical compound C12=CC(O)=C(O)C=C2CC2(O)C1C1=CC=C(O)C(O)=C1OC2 WZUVPPKBWHMQCE-UHFFFAOYSA-N 0.000 description 2
- 101000731000 Homo sapiens Membrane-associated progesterone receptor component 1 Proteins 0.000 description 2
- 206010027476 Metastases Diseases 0.000 description 2
- 239000000427 antigen Substances 0.000 description 2
- 230000008859 change Effects 0.000 description 2
- 238000000701 chemical imaging Methods 0.000 description 2
- 230000001186 cumulative effect Effects 0.000 description 2
- 238000004163 cytometry Methods 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 230000018109 developmental process Effects 0.000 description 2
- 238000002059 diagnostic imaging Methods 0.000 description 2
- 230000008030 elimination Effects 0.000 description 2
- 238000003379 elimination reaction Methods 0.000 description 2
- 238000000295 emission spectrum Methods 0.000 description 2
- 238000002474 experimental method Methods 0.000 description 2
- 238000009499 grossing Methods 0.000 description 2
- 230000004807 localization Effects 0.000 description 2
- 230000009401 metastasis Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000013188 needle biopsy Methods 0.000 description 2
- 230000009871 nonspecific binding Effects 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 230000002829 reductive effect Effects 0.000 description 2
- 238000003860 storage Methods 0.000 description 2
- 238000012360 testing method Methods 0.000 description 2
- 235000002566 Capsicum Nutrition 0.000 description 1
- 238000000116 DAPI staining Methods 0.000 description 1
- 206010061819 Disease recurrence Diseases 0.000 description 1
- 102000011782 Keratins Human genes 0.000 description 1
- 108010076876 Keratins Proteins 0.000 description 1
- 125000000769 L-threonyl group Chemical group [H]N([H])[C@]([H])(C(=O)[*])[C@](O[H])(C([H])([H])[H])[H] 0.000 description 1
- 241000982367 Numenes Species 0.000 description 1
- 239000006002 Pepper Substances 0.000 description 1
- 235000016761 Piper aduncum Nutrition 0.000 description 1
- 235000017804 Piper guineense Nutrition 0.000 description 1
- 244000203593 Piper nigrum Species 0.000 description 1
- 235000008184 Piper nigrum Nutrition 0.000 description 1
- 241001471126 Scirtes Species 0.000 description 1
- 230000004075 alteration Effects 0.000 description 1
- 102000036639 antigens Human genes 0.000 description 1
- 108091007433 antigens Proteins 0.000 description 1
- 238000003556 assay Methods 0.000 description 1
- 230000002902 bimodal effect Effects 0.000 description 1
- 230000031018 biological processes and functions Effects 0.000 description 1
- 230000015572 biosynthetic process Effects 0.000 description 1
- 210000003850 cellular structure Anatomy 0.000 description 1
- 238000012512 characterization method Methods 0.000 description 1
- 239000003153 chemical reaction reagent Substances 0.000 description 1
- 230000008045 co-localization Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000002591 computed tomography Methods 0.000 description 1
- 238000007796 conventional method Methods 0.000 description 1
- 230000002596 correlated effect Effects 0.000 description 1
- 230000008878 coupling Effects 0.000 description 1
- 238000010168 coupling process Methods 0.000 description 1
- 238000005859 coupling reaction Methods 0.000 description 1
- 230000034994 death Effects 0.000 description 1
- 239000000975 dye Substances 0.000 description 1
- YQGOJNYOYNNSMM-UHFFFAOYSA-N eosin Chemical compound [Na+].OC(=O)C1=CC=CC=C1C1=C2C=C(Br)C(=O)C(Br)=C2OC2=C(Br)C(O)=C(Br)C=C21 YQGOJNYOYNNSMM-UHFFFAOYSA-N 0.000 description 1
- 210000000981 epithelium Anatomy 0.000 description 1
- 230000005284 excitation Effects 0.000 description 1
- 238000005429 filling process Methods 0.000 description 1
- 230000004927 fusion Effects 0.000 description 1
- PCHJSUWPFVWCPO-UHFFFAOYSA-N gold Chemical compound [Au] PCHJSUWPFVWCPO-UHFFFAOYSA-N 0.000 description 1
- 230000012010 growth Effects 0.000 description 1
- 238000003711 image thresholding Methods 0.000 description 1
- 239000012535 impurity Substances 0.000 description 1
- 230000001788 irregular Effects 0.000 description 1
- 238000012804 iterative process Methods 0.000 description 1
- 230000000670 limiting effect Effects 0.000 description 1
- 238000012417 linear regression Methods 0.000 description 1
- 238000013507 mapping Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000000386 microscopy Methods 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 239000012188 paraffin wax Substances 0.000 description 1
- 230000001575 pathological effect Effects 0.000 description 1
- 239000000092 prognostic biomarker Substances 0.000 description 1
- 230000000644 propagated effect Effects 0.000 description 1
- 230000001902 propagating effect Effects 0.000 description 1
- 238000011002 quantification Methods 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 238000007670 refining Methods 0.000 description 1
- 238000009877 rendering Methods 0.000 description 1
- 238000002271 resection Methods 0.000 description 1
- 229940101201 ringl Drugs 0.000 description 1
- 150000003839 salts Chemical class 0.000 description 1
- 235000013580 sausages Nutrition 0.000 description 1
- 239000004065 semiconductor Substances 0.000 description 1
- 238000001228 spectrum Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000012549 training Methods 0.000 description 1
- 238000002604 ultrasonography Methods 0.000 description 1
- 238000007473 univariate analysis Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/60—Type of objects
- G06V20/69—Microscopic objects, e.g. biological cells or cellular parts
- G06V20/698—Matching; Classification
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/90—Dynamic range modification of images or parts thereof
- G06T5/94—Dynamic range modification of images or parts thereof based on local image properties, e.g. for local contrast enhancement
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0012—Biomedical image inspection
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/11—Region-based segmentation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/155—Segmentation; Edge detection involving morphological operators
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/40—Analysis of texture
- G06T7/41—Analysis of texture based on statistical description of texture
- G06T7/45—Analysis of texture based on statistical description of texture using co-occurrence matrix computation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10056—Microscopic image
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20036—Morphological image processing
- G06T2207/20041—Distance transform
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20212—Image combination
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30004—Biomedical image processing
- G06T2207/30024—Cell structures in vitro; Tissue sections in vitro
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Quality & Reliability (AREA)
- Radiology & Medical Imaging (AREA)
- Medical Informatics (AREA)
- Probability & Statistics with Applications (AREA)
- Mathematical Physics (AREA)
- Computing Systems (AREA)
- Life Sciences & Earth Sciences (AREA)
- Biomedical Technology (AREA)
- Molecular Biology (AREA)
- Multimedia (AREA)
- Image Analysis (AREA)
- Image Processing (AREA)
- Investigating Or Analysing Biological Materials (AREA)
Abstract
La présente invention concerne un appareil, des procédés, et des supports lisibles par ordinateur pour la segmentation, le traitement (par exemple, le prétraitement et/ou le post-traitement), et/ou l'extraction de caractéristiques à partir d'images tissulaires telles que, par exemple, des images de noyaux et/ou de cytoplasme. Des images tissulaires traitées par divers modes de réalisation selon la présente invention peuvent être générées par la coloration à l'hématoxyline et à l'éosine (H&E), la détection en immunofluorescence (IF), l'immunohistochimie (IHC), des procédés analogues et/ou connexes de coloration, et/ou d'autres procédés. Des caractéristiques prédictives qui y sont décrites peuvent être fournies pour être utilisées, par exemple, dans un ou des modèles prédictifs pour le traitement, le diagnostic, et/ou la prédiction de survenance (par exemple, de récurrence) d'une ou de plusieurs conditions médicales telles que, par exemple, le cancer ou d'autres types de maladie.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CA3010836A CA3010836C (fr) | 2010-07-30 | 2011-08-01 | Systemes et procedes pour la segmentation et le traitement d'images tissulaires et d'extraction de caracteristiques a partir de celles-ci pour le traitement, le diagnostic, ou laprediction de conditions |
Applications Claiming Priority (9)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US40065710P | 2010-07-30 | 2010-07-30 | |
US40064210P | 2010-07-30 | 2010-07-30 | |
US61/400,642 | 2010-07-30 | ||
US61/400,657 | 2010-07-30 | ||
US45600910P | 2010-10-28 | 2010-10-28 | |
US45598810P | 2010-10-28 | 2010-10-28 | |
US61/455,988 | 2010-10-28 | ||
US61/456,009 | 2010-10-28 | ||
PCT/US2011/046149 WO2012016242A2 (fr) | 2010-07-30 | 2011-08-01 | Systèmes et procédés pour la segmentation et le traitement d'images tissulaires et d'extraction de caractéristiques à partir de celles-ci pour le traitement, le diagnostic, ou la prédiction de conditions médicales |
Related Child Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CA3010836A Division CA3010836C (fr) | 2010-07-30 | 2011-08-01 | Systemes et procedes pour la segmentation et le traitement d'images tissulaires et d'extraction de caracteristiques a partir de celles-ci pour le traitement, le diagnostic, ou laprediction de conditions |
Publications (2)
Publication Number | Publication Date |
---|---|
CA2807144A1 CA2807144A1 (fr) | 2012-02-02 |
CA2807144C true CA2807144C (fr) | 2019-05-28 |
Family
ID=44533139
Family Applications (3)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CA3048769A Abandoned CA3048769A1 (fr) | 2010-07-30 | 2011-08-01 | Systemes et procedes pour la segmentation et le traitement d'images tissulaires et d'extraction de caracteristiques a partir de celles-ci pour le traitement, le diagnostic, ou laprediction de conditions |
CA3010836A Active CA3010836C (fr) | 2010-07-30 | 2011-08-01 | Systemes et procedes pour la segmentation et le traitement d'images tissulaires et d'extraction de caracteristiques a partir de celles-ci pour le traitement, le diagnostic, ou laprediction de conditions |
CA2807144A Active CA2807144C (fr) | 2010-07-30 | 2011-08-01 | Systemes et procedes pour la segmentation et le traitement d'images tissulaires et d'extraction de caracteristiques a partir de celles-ci pour le traitement, le diagnostic, ou laprediction de conditions medicales |
Family Applications Before (2)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CA3048769A Abandoned CA3048769A1 (fr) | 2010-07-30 | 2011-08-01 | Systemes et procedes pour la segmentation et le traitement d'images tissulaires et d'extraction de caracteristiques a partir de celles-ci pour le traitement, le diagnostic, ou laprediction de conditions |
CA3010836A Active CA3010836C (fr) | 2010-07-30 | 2011-08-01 | Systemes et procedes pour la segmentation et le traitement d'images tissulaires et d'extraction de caracteristiques a partir de celles-ci pour le traitement, le diagnostic, ou laprediction de conditions |
Country Status (6)
Country | Link |
---|---|
US (3) | US9286505B2 (fr) |
EP (2) | EP2779089B1 (fr) |
CA (3) | CA3048769A1 (fr) |
ES (1) | ES2711196T3 (fr) |
PT (1) | PT2779089T (fr) |
WO (1) | WO2012016242A2 (fr) |
Families Citing this family (102)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US9773307B2 (en) * | 2010-01-25 | 2017-09-26 | Amcad Biomed Corporation | Quantification and imaging methods and system of the echo texture feature |
JP5665655B2 (ja) * | 2011-05-24 | 2015-02-04 | 株式会社日立製作所 | 画像処理装置及び方法 |
WO2012169177A1 (fr) * | 2011-06-07 | 2012-12-13 | パナソニック株式会社 | Dispositif de diagnostic ultrasonique et procédé de diagnostic ultrasonique |
RU2476932C1 (ru) * | 2012-03-30 | 2013-02-27 | Федеральное государственное бюджетное учреждение науки Вычислительный центр им. А.А. Дородницына Российской академии наук | Автоматизированная система анализа биомедицинских микроизображений для обнаружения и характеризации информативных объектов заданных классов на неоднородном фоне |
WO2013161155A1 (fr) * | 2012-04-23 | 2013-10-31 | 日本電気株式会社 | Dispositif de mesure d'images, procédé de mesure d'images et programme de mesure d'images |
WO2013164279A1 (fr) * | 2012-04-30 | 2013-11-07 | General Electric Company | Systèmes et méthodes de sélection et d'analyse de particules dans un tissu biologique |
US9036888B2 (en) * | 2012-04-30 | 2015-05-19 | General Electric Company | Systems and methods for performing quality review scoring of biomarkers and image analysis methods for biological tissue |
US20140064596A1 (en) * | 2012-08-29 | 2014-03-06 | Micron Technology, Inc. | Descriptor guided fast marching method for analyzing images and systems using the same |
US10262330B2 (en) * | 2013-01-04 | 2019-04-16 | PlaceIQ, Inc. | Location-based analytic platform and methods |
RU2533876C2 (ru) * | 2013-01-23 | 2014-11-20 | Олег Владимирович Чикало | Способ бинаризации медицинских изображений |
US9235890B2 (en) | 2013-03-15 | 2016-01-12 | Yahoo! Inc. | Identifying regions characterized by labeled measurements |
US11080318B2 (en) * | 2013-06-27 | 2021-08-03 | Kodak Alaris Inc. | Method for ranking and selecting events in media collections |
US20160255357A1 (en) * | 2013-07-15 | 2016-09-01 | Microsoft Technology Licensing, Llc | Feature-based image set compression |
CN104346801B (zh) * | 2013-08-02 | 2018-07-20 | 佳能株式会社 | 图像构图评估装置、信息处理装置及其方法 |
TWI496112B (zh) * | 2013-09-13 | 2015-08-11 | Univ Nat Cheng Kung | 細胞影像分割方法以及核質比評估方法 |
WO2015054295A1 (fr) * | 2013-10-07 | 2015-04-16 | Arizona Board Of Regents On Behalf Of Arizona State University | Systèmes de procédés de mesure de glomérules rénales |
US8879813B1 (en) * | 2013-10-22 | 2014-11-04 | Eyenuk, Inc. | Systems and methods for automated interest region detection in retinal images |
US9412005B2 (en) * | 2013-10-25 | 2016-08-09 | Gooch & Housego Plc | Use of error image for unmixing artifact removal in linear spectral unmixing |
CN103530887B (zh) * | 2013-10-29 | 2016-02-03 | 重庆大学 | 一种基于多特征融合的河面图像区域分割方法 |
US9626583B2 (en) * | 2013-12-12 | 2017-04-18 | University of Pittsburg—Of the Commonwealth System of Higher Education | Automated epithelial nuclei segmentation for computational disease detection algorithms |
JP5804220B1 (ja) * | 2014-03-27 | 2015-11-04 | コニカミノルタ株式会社 | 画像処理装置および画像処理プログラム |
RU2690224C2 (ru) * | 2014-04-03 | 2019-05-31 | Конинклейке Филипс Н.В. | Обследующее устройство для обработки и анализа изображения |
EP3155592B1 (fr) * | 2014-06-10 | 2019-09-11 | Leland Stanford Junior University | Prédiction d'une récurrence du cancer du sein directement à partir de caractéristiques d'image calculées à partir de lames de tissu d'immunohistopathologie numérisées |
WO2016014384A2 (fr) * | 2014-07-25 | 2016-01-28 | Covidien Lp | Environnement de réalité chirurgicale augmentée |
EP2985719A1 (fr) * | 2014-08-15 | 2016-02-17 | IMEC vzw | Système et procédé de reconnaissance de cellules |
WO2016029208A1 (fr) * | 2014-08-22 | 2016-02-25 | University Of South Florida | Système et procédé de stéréologie automatisée du cancer |
AU2015345199A1 (en) * | 2014-11-10 | 2017-04-27 | Ventana Medical Systems, Inc. | Classifying nuclei in histology images |
US10943350B2 (en) * | 2015-02-25 | 2021-03-09 | London Health Science Center Research Inc. | Automated segmentation of histological sections for vasculature quantification |
US10733417B2 (en) | 2015-04-23 | 2020-08-04 | Cedars-Sinai Medical Center | Automated delineation of nuclei for three dimensional (3-D) high content screening |
JP6725646B2 (ja) * | 2015-09-02 | 2020-07-22 | ベンタナ メディカル システムズ, インコーポレイテッド | 解析的に別個の検体染色のパターンの混合を有する細胞サンプルの自動化解析 |
US9779499B2 (en) * | 2015-09-18 | 2017-10-03 | Definiens Ag | Grading of glandular tissue cancer by detailed image analysis of stained tissue slices |
US9613254B1 (en) | 2015-09-30 | 2017-04-04 | General Electric Company | Quantitative in situ characterization of heterogeneity in biological samples |
US10019796B2 (en) * | 2015-10-16 | 2018-07-10 | General Electric Company | System and method for blood vessel analysis and quantification in highly multiplexed fluorescence imaging |
US20170119316A1 (en) * | 2015-10-30 | 2017-05-04 | Orthosensor Inc | Orthopedic measurement and tracking system |
WO2017106106A1 (fr) * | 2015-12-15 | 2017-06-22 | Leica Biosystems Imaging, Inc. | Segmentation nucléaire automatique |
CN106910180B (zh) * | 2015-12-22 | 2019-08-20 | 成都理想境界科技有限公司 | 一种图像质量评估方法及装置 |
CA3013048A1 (fr) * | 2016-01-28 | 2017-08-03 | Gerard LETTERIE | Analyse d'image automatisee pour evaluer un potentiel de reproduction d'ovocytes humains et d'embryons pronucleaires |
US10846509B2 (en) * | 2016-06-10 | 2020-11-24 | Luminex Corporation | Method to combine brightfield and fluorescent channels for cell image segmentation and morphological analysis using images obtained from imaging flow cytometer (IFC) |
US10890576B2 (en) | 2016-06-23 | 2021-01-12 | Konica Minolta, Inc. | Image processing device, image processing method, and recording medium |
US20180053297A1 (en) * | 2016-08-18 | 2018-02-22 | Ohio University | Methods and Apparatuses for Detection of Abnormalities in Low-Contrast Images |
EP3510137A4 (fr) | 2016-09-08 | 2020-05-27 | Abbott Laboratories | Analyse automatisée de fluide corporel |
US10430943B2 (en) * | 2016-10-07 | 2019-10-01 | Sony Corporation | Automated nuclei area/number estimation for IHC image analysis |
EP3559902A1 (fr) | 2016-12-22 | 2019-10-30 | Ventana Medical Systems, Inc. | Notation informatique basée sur des images primaires de coloration et d'immunohistochimie |
US10332252B2 (en) * | 2016-12-29 | 2019-06-25 | General Electric Company | Slope constrained cubic interpolation |
EP3586306A4 (fr) * | 2017-02-21 | 2020-12-30 | Koh Young Technology Inc. | Procédé et appareil de traitement d'image histologique capturée par un dispositif d'imagerie médicale |
US11514569B2 (en) * | 2017-04-06 | 2022-11-29 | Cadess.Ai Ab | Segmentation of histological tissue images into glandular structures for prostate cancer tissue classification |
WO2018209057A1 (fr) * | 2017-05-11 | 2018-11-15 | The Research Foundation For The State University Of New York | Système et procédé associés à la prédiction de la qualité de segmentation d'objets dans l'analyse de données d'image copieuses |
US10650929B1 (en) * | 2017-06-06 | 2020-05-12 | PathAI, Inc. | Systems and methods for training a model to predict survival time for a patient |
JP7011035B2 (ja) * | 2017-08-04 | 2022-01-26 | ベンタナ メディカル システムズ, インコーポレイテッド | 染色された標本画像内で細胞を検出するための自動化された方法およびシステム |
CN107465771B (zh) * | 2017-09-20 | 2020-05-19 | 广东工业大学 | 一种网络地址段划分方法及系统 |
JP2019058073A (ja) * | 2017-09-25 | 2019-04-18 | オリンパス株式会社 | 画像処理装置、細胞認識装置、細胞認識方法および細胞認識プログラム |
US10803328B1 (en) * | 2017-11-15 | 2020-10-13 | Uatc, Llc | Semantic and instance segmentation |
US10402623B2 (en) * | 2017-11-30 | 2019-09-03 | Metal Industries Research & Development Centre | Large scale cell image analysis method and system |
KR101998397B1 (ko) * | 2017-12-22 | 2019-07-09 | 한국기술교육대학교 산학협력단 | 작업 공간 모델링에서 뎁스 이미지를 이용한 버텍스 최적화 방법 및 시스템 |
US10818011B2 (en) * | 2017-12-29 | 2020-10-27 | Shenzhen Institutes Of Advanced Technology Chinese Academy Of Sciences | Carpal segmentation and recognition method and system, terminal and readable storage medium |
WO2019152850A1 (fr) * | 2018-02-02 | 2019-08-08 | Centerline Biomedical, Inc. | Segmentation de structures anatomiques |
US10915729B2 (en) * | 2018-02-20 | 2021-02-09 | The Regents Of The University Of Michigan | Three-dimensional cell and tissue image analysis for cellular and sub-cellular morphological modeling and classification |
CN110298811B (zh) * | 2018-03-21 | 2021-10-26 | 北京大学 | 图像的预处理方法、装置、终端以及计算机可读存储介质 |
CN108550129B (zh) * | 2018-04-20 | 2019-04-09 | 北京航天宏图信息技术股份有限公司 | 基于地理模板的匀色方法及装置 |
CN108961208B (zh) * | 2018-05-21 | 2021-04-27 | 江苏康尚生物医疗科技有限公司 | 一种聚集白细胞分割计数系统及方法 |
EP3803686A4 (fr) | 2018-05-24 | 2022-03-16 | University of Pittsburgh - of the Commonwealth System of Higher Education | Prédiction de récidive d'un cancer à partir de données d'imagerie cellulaire et sous-cellulaire à multiples paramètres spatiaux |
IT201800005848A1 (it) * | 2018-05-30 | 2019-11-30 | Metodo per segmentazione e classificazione automatica di oggetti rilevanti in un’immagine digitale di un campione di tessuto | |
WO2019241771A1 (fr) * | 2018-06-15 | 2019-12-19 | Riegle Christopher | Procédés et systèmes de reconnaissance d'unités géométriques dans une image numérique |
US10430708B1 (en) * | 2018-08-17 | 2019-10-01 | Aivitae LLC | System and method for noise-based training of a prediction model |
EP3629240B1 (fr) * | 2018-09-07 | 2023-08-23 | Panasonic Intellectual Property Corporation of America | Réseaux adversaires génératifs pour l'élimination du bruit local d'une image |
EP3867868A1 (fr) | 2018-10-15 | 2021-08-25 | Ventana Medical Systems, Inc. | Amélioration d'image pour permettre une détection et une segmentation améliorées de noyaux |
CN111161275B (zh) * | 2018-11-08 | 2022-12-23 | 腾讯科技(深圳)有限公司 | 医学图像中目标对象的分割方法、装置和电子设备 |
US20220050996A1 (en) * | 2018-12-15 | 2022-02-17 | The Brigham And Women's Hospital, Inc. | Augmented digital microscopy for lesion analysis |
CN110458830B (zh) * | 2019-03-08 | 2021-02-09 | 腾讯科技(深圳)有限公司 | 图像处理方法、装置、服务器及存储介质 |
US12039722B2 (en) | 2019-03-26 | 2024-07-16 | Osaka University | Image analysis method, storage medium, image analysis device, and image analysis system |
US11521316B1 (en) | 2019-04-03 | 2022-12-06 | Kentucky Imaging Technologies | Automatic extraction of interdental gingiva regions |
CN112470166B (zh) * | 2019-06-18 | 2024-08-23 | 香港理工大学 | 用于分割医学图像中的重叠细胞质的方法及系统 |
JP7148462B2 (ja) * | 2019-07-19 | 2022-10-05 | 京セラ株式会社 | 画像認識評価プログラム、画像認識評価方法、評価装置及び評価システム |
US11361574B2 (en) * | 2019-10-23 | 2022-06-14 | Bendix Commercial Vehicle Systems Llc | System and method for monitoring for driver presence and position using a driver facing camera |
CN111062962B (zh) * | 2019-12-06 | 2022-09-27 | 昆明理工大学 | 一种基于差分搜索算法的多阈值超声图像分割方法 |
CN111192251B (zh) * | 2019-12-30 | 2023-03-28 | 上海交通大学医学院附属国际和平妇幼保健院 | 基于水平集图像分割的卵泡超声处理方法和系统 |
CN111340773B (zh) * | 2020-02-24 | 2022-11-22 | 齐鲁工业大学 | 一种视网膜图像血管分割方法 |
TWI743693B (zh) * | 2020-02-27 | 2021-10-21 | 國立陽明交通大學 | 良性腫瘤發展趨勢評估系統、其伺服計算機裝置及計算機可讀取的儲存媒體 |
CN111476881A (zh) * | 2020-03-18 | 2020-07-31 | 创业慧康科技股份有限公司 | 基于结构相似性水平集算法的人体组织器官三维重建方法 |
CN111257348B (zh) * | 2020-03-27 | 2023-02-17 | 河海大学常州校区 | 一种基于机器视觉的led导光板缺陷检测方法 |
CN111583175B (zh) * | 2020-03-30 | 2024-03-22 | 浪潮通用软件有限公司 | 一种红细胞图像检测方法及设备、介质 |
CN111583189B (zh) * | 2020-04-16 | 2024-02-27 | 武汉联影智融医疗科技有限公司 | 大脑核团定位方法、装置、存储介质及计算机设备 |
CN111582111B (zh) * | 2020-04-29 | 2022-04-29 | 电子科技大学 | 一种基于语义分割的细胞各成分分割方法 |
CN113628157A (zh) * | 2020-05-06 | 2021-11-09 | 德克萨斯大学体系董事会 | 利用病理图像来表征肿瘤微环境的系统和方法 |
EP3922980B1 (fr) * | 2020-06-12 | 2022-08-10 | Sartorius Stedim Data Analytics AB | Procédé mis en oeuvre par ordinateur, produit de programme informatique et système d'analyse de données |
EP4200863A4 (fr) * | 2020-08-24 | 2024-07-10 | Applied Materials Inc | Détection de cellules à l'aide d'une segmentation fondée sur une coloration nucléaire et des images d'hybridation fluorescente in situ multiplexée |
US11869125B2 (en) * | 2020-09-30 | 2024-01-09 | Adobe Inc. | Generating composite images with objects from different times |
CN112330688A (zh) * | 2020-11-02 | 2021-02-05 | 腾讯科技(深圳)有限公司 | 基于人工智能的图像处理方法、装置和计算机设备 |
JP7122017B2 (ja) * | 2020-12-28 | 2022-08-19 | 株式会社APSAM Imaging | 画像解析方法、推定装置、推定システム、制御プログラム、記録媒体 |
KR102654891B1 (ko) * | 2020-12-28 | 2024-04-05 | 세메스 주식회사 | 이상 진단 시스템 및 이상 진단 방법 |
CN112819788B (zh) * | 2021-02-01 | 2023-02-07 | 上海万物新生环保科技集团有限公司 | 一种图像稳定性检测方法及设备 |
CN113034460B (zh) * | 2021-03-21 | 2022-09-09 | 湖南科迈森医疗科技有限公司 | 子宫内膜腺体密度预估方法 |
US20220318999A1 (en) * | 2021-03-23 | 2022-10-06 | Yanzhe Xu | Deep learning based blob detection systems and methods |
CN114037724B (zh) * | 2021-10-18 | 2024-04-09 | 哈尔滨工业大学 | 一种阈值法图像分割的异构并行计算系统、方法及电子设备 |
CN114119645B (zh) * | 2021-11-25 | 2022-10-21 | 推想医疗科技股份有限公司 | 一种图像分割质量的确定方法、系统、设备及介质 |
CN114283156B (zh) * | 2021-12-02 | 2024-03-05 | 珠海移科智能科技有限公司 | 一种用于去除文档图像颜色及手写笔迹的方法及装置 |
CN114862877B (zh) * | 2022-05-27 | 2024-03-22 | 四川大学华西医院 | 基于置信度评分的细胞粘连分割方法和装置 |
CN115082529B (zh) * | 2022-06-30 | 2023-04-14 | 华东师范大学 | 一种大体组织多维信息采集和分析系统与方法 |
CN116485924B (zh) * | 2023-03-20 | 2023-09-29 | 西安电子科技大学 | 含伪影的光纤线包ct截面图像的二值化方法 |
CN116580041B (zh) * | 2023-05-30 | 2024-06-18 | 山东第一医科大学附属眼科研究所(山东省眼科研究所、山东第一医科大学附属青岛眼科医院) | 基于voronoi图的角膜内皮细胞边界分割方法和装置 |
CN116597389B (zh) * | 2023-07-18 | 2023-09-15 | 山东省地质测绘院 | 基于图像处理的地质灾害监测及预警方法 |
CN116645382B (zh) * | 2023-07-26 | 2023-10-20 | 天津恒宇医疗科技有限公司 | 自适应的血管分割方法及系统 |
Family Cites Families (25)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US1059808A (en) | 1912-07-06 | 1913-04-22 | Triumph Voting Machine Co | Operating-lever lock for voting-machines. |
US6227850B1 (en) | 1999-05-13 | 2001-05-08 | Align Technology, Inc. | Teeth viewing system |
US6577762B1 (en) * | 1999-10-26 | 2003-06-10 | Xerox Corporation | Background surface thresholding |
JP4320990B2 (ja) * | 2001-11-30 | 2009-08-26 | セイコーエプソン株式会社 | 画面欠陥検出方法及び装置並びに画面欠陥検出のためのプログラム |
AU2003230069B2 (en) * | 2002-05-14 | 2008-11-13 | Molecular Devices, Llc | System and methods for rapid and automated screening of cells |
US6706605B1 (en) | 2003-03-31 | 2004-03-16 | Texas Instruments Incorporated | Transistor formed from stacked disposable sidewall spacer |
US6995020B2 (en) | 2003-07-21 | 2006-02-07 | Aureon Laboratories, Inc. | Methods and compositions for the preparation and use of fixed-treated cell-lines and tissue in fluorescence in situ hybridization |
US7580556B2 (en) * | 2004-01-26 | 2009-08-25 | Drvision Technologies Llc | Image region partitioning using pre-labeled regions |
WO2005086068A2 (fr) | 2004-02-27 | 2005-09-15 | Aureon Laboratories, Inc. | Procedes et systemes de prevision d'un evenement |
CN101061509B (zh) * | 2004-11-19 | 2010-10-27 | 皇家飞利浦电子股份有限公司 | 用于医疗成像数据内的肿瘤边界的自动检测和分割的系统和方法 |
ES2617882T3 (es) * | 2005-05-13 | 2017-06-20 | Tripath Imaging, Inc. | Método de análisis de imagen basado en la separación de cromógenos |
US8280132B2 (en) * | 2006-08-01 | 2012-10-02 | Rutgers, The State University Of New Jersey | Malignancy diagnosis using content-based image retreival of tissue histopathology |
DE102007013971B4 (de) * | 2007-03-23 | 2011-07-14 | Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V., 80686 | Verfahren und Vorrichtung zur Ermittlung einer Zellkontur einer Zelle |
US8417033B2 (en) * | 2007-04-27 | 2013-04-09 | Hewlett-Packard Development Company, L.P. | Gradient based background segmentation and enhancement of images |
EP2107589B1 (fr) | 2008-03-31 | 2012-05-16 | SMA Solar Technology AG | Dispositif de commutation destiné à la mise à la terre d'un onduleur |
US8472683B2 (en) * | 2008-05-09 | 2013-06-25 | General Electric Company | Motion correction in tomographic images |
US9779213B2 (en) * | 2008-07-25 | 2017-10-03 | Fundacao D. Anna Sommer Champalimaud E Dr. Carlos Montez Champalimaud | System for evaluating a pathological stage of prostate cancer |
CA3074969C (fr) * | 2008-07-25 | 2023-06-13 | Fundacao D. Anna Sommer Champalimaud E Dr. Carlos Montez Champalimaud | Systemes et methodes de traitement, diagnostic et prediction de l'occurrence d'un etat medical |
US8718340B2 (en) * | 2008-09-03 | 2014-05-06 | Trustees Of The University Of Pennsylvania | System and method for accurate and rapid identification of diseased regions on biological images with applications to disease diagnosis and prognosis |
CN104376147B (zh) * | 2009-02-02 | 2018-07-17 | 罗格斯新泽西州立大学 | 基于图像的风险分数的图像分析系统 |
KR101058726B1 (ko) * | 2009-11-11 | 2011-08-22 | 삼성전자주식회사 | 조명 성분을 제거하기 위한 이미지 보정 장치 및 방법 |
US9779283B2 (en) * | 2011-01-05 | 2017-10-03 | The Board Of Trustees Of The University Of Illinois | Automated prostate tissue referencing for cancer detection and diagnosis |
US9230063B2 (en) * | 2011-01-05 | 2016-01-05 | The Board Of Trustees Of The University Of Illinois | Automated prostate tissue referencing for cancer detection and diagnosis |
US9235891B2 (en) * | 2011-01-10 | 2016-01-12 | Rutgers, The State University Of New Jersey | Boosted consensus classifier for large images using fields of view of various sizes |
US9286672B2 (en) * | 2012-01-10 | 2016-03-15 | Rutgers, The State University Of New Jersey | Integrated multivariate image-based method for disease outcome predicition |
-
2011
- 2011-08-01 WO PCT/US2011/046149 patent/WO2012016242A2/fr active Application Filing
- 2011-08-01 CA CA3048769A patent/CA3048769A1/fr not_active Abandoned
- 2011-08-01 EP EP14160371.2A patent/EP2779089B1/fr active Active
- 2011-08-01 CA CA3010836A patent/CA3010836C/fr active Active
- 2011-08-01 CA CA2807144A patent/CA2807144C/fr active Active
- 2011-08-01 ES ES14160371T patent/ES2711196T3/es active Active
- 2011-08-01 PT PT14160371T patent/PT2779089T/pt unknown
- 2011-08-01 EP EP11749618.2A patent/EP2599055A2/fr not_active Withdrawn
-
2013
- 2013-01-30 US US13/754,097 patent/US9286505B2/en active Active
-
2015
- 2015-12-28 US US14/981,352 patent/US9754152B2/en active Active
-
2017
- 2017-07-26 US US15/660,727 patent/US9971931B2/en active Active
Also Published As
Publication number | Publication date |
---|---|
CA3048769A1 (fr) | 2012-02-02 |
WO2012016242A2 (fr) | 2012-02-02 |
CA3010836C (fr) | 2020-09-08 |
US9971931B2 (en) | 2018-05-15 |
US20160188954A1 (en) | 2016-06-30 |
PT2779089T (pt) | 2019-02-19 |
ES2711196T3 (es) | 2019-04-30 |
CA3010836A1 (fr) | 2012-02-02 |
US9754152B2 (en) | 2017-09-05 |
EP2779089A2 (fr) | 2014-09-17 |
EP2779089A3 (fr) | 2014-12-31 |
US9286505B2 (en) | 2016-03-15 |
CA2807144A1 (fr) | 2012-02-02 |
US20130230230A1 (en) | 2013-09-05 |
WO2012016242A3 (fr) | 2012-05-18 |
EP2599055A2 (fr) | 2013-06-05 |
EP2779089B1 (fr) | 2018-11-14 |
US20180025212A1 (en) | 2018-01-25 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US9971931B2 (en) | Systems and methods for segmentation and processing of tissue images and feature extraction from same for treating, diagnosing, or predicting medical conditions | |
Salvi et al. | The impact of pre-and post-image processing techniques on deep learning frameworks: A comprehensive review for digital pathology image analysis | |
US10438096B2 (en) | Identifying and excluding blurred areas of images of stained tissue to improve cancer scoring | |
Veta et al. | Automatic nuclei segmentation in H&E stained breast cancer histopathology images | |
US8712142B2 (en) | Method and apparatus for analysis of histopathology images and its application to cancer diagnosis and grading | |
US8488863B2 (en) | Combinational pixel-by-pixel and object-level classifying, segmenting, and agglomerating in performing quantitative image analysis that distinguishes between healthy non-cancerous and cancerous cell nuclei and delineates nuclear, cytoplasm, and stromal material objects from stained biological tissue materials | |
EP3175389B1 (fr) | Détection automatique glandulaire et tubulaire lors d'un histopronostic de cancer du sein | |
WO2019048954A1 (fr) | Détermination de qualité de coloration de tissu | |
Phoulady et al. | A framework for nucleus and overlapping cytoplasm segmentation in cervical cytology extended depth of field and volume images | |
CN106056596B (zh) | 基于局部先验信息和凸优化的全自动三维肝脏分割方法 | |
SG194407A1 (en) | A method and system for determining a stage of fibrosis in a liver | |
Goceri et al. | Quantitative validation of anti‐PTBP1 antibody for diagnostic neuropathology use: Image analysis approach | |
Sarwar et al. | Segmentation of cervical cells for automated screening of cervical cancer: a review | |
Wang et al. | Identifying neutrophils in H&E staining histology tissue images | |
Song et al. | New morphological features for grading pancreatic ductal adenocarcinomas | |
Fernandez et al. | Artificial intelligence methods for predictive image-based grading of human cancers | |
CN110210578A (zh) | 基于图论的宫颈癌组织病理学显微图像聚类系统 | |
Benaggoune et al. | A deep learning pipeline for breast cancer ki-67 proliferation index scoring | |
Ajemba et al. | Integrated segmentation of cellular structures | |
Adhikary et al. | Overlapping oral epithelial cells segmentation: voronoi-based hybrid active contour model | |
Gray et al. | A method for quantification of calponin expression in myoepithelial cells in immunohistochemical images of ductal carcinoma in situ | |
Ajemba et al. | Iterative approach to joint segmentation of cellular structures | |
Ramachandran et al. | Adaptive epithelial cytoplasm segmentation and epithelial unit separation in immunoflurorescent images | |
Rmili et al. | Nuclei segmentation approach for digestive neuroendocrine tumors analysis using optimized color space conversion | |
Shu | Immunohistochemistry image analysis: protein, nuclei and gland |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
EEER | Examination request |
Effective date: 20160629 |